1.8 Confounding factors and outcomes in cross sectional studies

Lagos 2020 NOA AGM Expo

2019 NOA Conference

4.5 Key design elements in RCTs

4.3 Main features of RCTs

4 2 Epidemiology of the glaucomas

3 6 Calculating association between exposure and outcome

3.5 Error in cohort studies

3.4 Identifying the population in a DR cohort study

3.2 The challenge of diabetic retinopathy

2 5 Calculating the association between disease and exposure

2.4 Recall and observer bias

2.3 Selection and sources of cases and controls

2.2 The epidemiology of AMD

1.8 Confounding factors and outcomes in cross sectional studies

1.7 Strengths and weaknesses of rapid assessment

1.4 Cross sectional study for cataract

1.3 The epidemiology of cataract

1.1 Welcome to the course and lesson 1

3.10 Conclusion and next steps

3 8 What is confounding

3.6 What is bias

3 5 Other study designs

3 4 Linking research questions and methods Part 2

3 3 Cross sectional studies